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Deep Metallic Surface Defect Detection: The New Benchmark and Detection Network
Sensors, 2020 Metallic surface defect detection is an essential and necessary process to control the qualities of industrial products. However, due to the limited data scale and defect categories, existing defect datasets are generally unavailable for the deployment ...
Xiaoming Lv +4 more
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Sparse cross-transformer network for surface defect detection
Scientific ReportsQuality control processes with automation ensure that customers receive defect-free products that meet their needs. However, the performance of real-world surface defect detection is often severely hindered by the scarcity of data.
Xiaohua Huang +3 more
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Lightweight Industrial Products Defect Detection Network Based on Attention [PDF]
Jisuanji gongcheng, 2023 The detection of surface defects in industry is of great significance in improving the quality of industrial products and maintaining production safety. As surface defects are complex, diverse, and of different shapes, higher requirements are put forward
Gang LI, Rui SHAO, Mingle ZHOU, Min LI, Honglin WAN
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Surface Defect Detection using Hierarchical Features [PDF]
2019 IEEE 15th International Conference on Automation Science and Engineering (CASE), 2019 In this paper, we propose an instance level hierarchical features based convolution neural network model (H-CNN) for detecting surface defects. The H-CNN uses different convolutional layers’ extracted features to generate defect masks. The H-CNN first generates proposal regions.
Ling Xiao +4 more
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A high-effective multitask surface defect detection method based on CBAM and atrous convolution
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2022 Given the shortcomings of conventional machine vision-based surface defect detection methods, including their low accuracy, long development cycle, and poor generalization ability, this paper proposes a surface defect detection model based on the ...
Xin XIE +4 more
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An improved lightweight YOLOv11 algorithm for weld surface defect detection. [PDF]
Sci RepIndustrial welding often exhibits some essential problems, such as unclear defect characteristics and complex background information. However, the existing defect detection models have relatively high costs and may be weak in weld surface defect ...
Zhang R +5 more
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Surface Defect Detection Methods for Industrial Products: A Review
Applied Sciences, 2021 The comprehensive intelligent development of the manufacturing industry puts forward new requirements for the quality inspection of industrial products.
Yajun Chen +5 more
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Review of surface defect detection of steel products based on machine vision
IET Image Processing, 2023 Steel plays an important role in industry, and the surface defect detection for steel products based on machine vision has been widely used during the last two decades.
Bo Tang +3 more
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Materials Research Express, 2022 In phased array ultrasonic sector scanning testing, echoes from defects near the detection surface are often overlapped with interface echoes and cannot be characterized.
Yukuo Tian +6 more
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Applied Sciences, 2022 Steel surface defect detection is challenging because it contains various atypical defects. Many studies have attempted to detect metal surface defects using deep learning and had success in applying deep learning.
Mansi Sharma, Jongtae Lim, Hansung Lee
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